<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>比戸 将平 — Shohei Hido</title><description>講演・メディア掲載・受賞・論文の更新フィード。Recent talks, press, awards, and publications.</description><link>https://hido.github.io/</link><language>ja</language><item><title>[講演] 生成AIエージェントが切り拓く製造業の未来とダイキンにおける取り組み</title><link>https://www.it-user.hitachi.co.jp/HTML/taikai/taikai63/html/taikai63.html</link><guid isPermaLink="true">https://www.it-user.hitachi.co.jp/HTML/taikai/taikai63/html/taikai63.html</guid><description>日立ITユーザ会 第63回大会「伝統と革新が響き合う未来 ～誰もが輝く社会をめざして～」（ホテルグランヴィア京都、2026年7月9日（木）〜10日（金）、講演1、日立ITユーザ会 主催）</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] AI時代の「新・製造業の現場」 ～現場の暗黙知とAIの推論をどう融合させるか～</title><link>https://jbpress.ismedia.jp/list/jir/forum/ai-innovation</link><guid isPermaLink="true">https://jbpress.ismedia.jp/list/jir/forum/ai-innovation</guid><description>JBpress 第11回 AIイノベーションフォーラム（オンライン、JBpress / Japan Innovation Review 主催）／ 特別対談 12:50〜13:35 ／ 対談相手：今井翔太（GenesisAI 代表取締役社長／CEO、北陸先端科学技術大学院大学 客員教授）</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[表彰] GENIAC-PRIZE 第1位 ／ AIエージェント賞 ダブル受賞</title><link>https://geniac-prize.nedo.go.jp/archive/2025/</link><guid isPermaLink="true">https://geniac-prize.nedo.go.jp/archive/2025/</guid><description>経済産業省・NEDO 主催「GENIAC-PRIZE」（懸賞金総額 約8億円）／ ダイキン工業として受賞・フェアリーデバイセズと共同応募</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>表彰</category></item><item><title>[論文] 空調分野におけるドメイン特化コーパス構築手法の検討</title><link>https://www.anlp.jp/proceedings/annual_meeting/2026/pdf_dir/Q4-22.pdf</link><guid isPermaLink="true">https://www.anlp.jp/proceedings/annual_meeting/2026/pdf_dir/Q4-22.pdf</guid><description>森本康太, 森田隆紘, 冨士本直起, 比戸将平 (ダイキン), 小田悠介 (NII). 言語処理学会第32回年次大会（NLP2026, 宇都宮）, Q4-22</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[講演] AIトップランナーたちが語るAI実装最前線</title><link>https://www.ipa.go.jp/jinzai/mitou/mitoukaigi/</link><guid isPermaLink="true">https://www.ipa.go.jp/jinzai/mitou/mitoukaigi/</guid><description>未踏会議2026 MEET DAY（東京ミッドタウン・ホール、IPA 主催）</description><pubDate>Sat, 07 Mar 2026 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] 製造業の暗黙知・無形資産、眠れる資産をAIでどう価値化？</title><link>https://events.nikkeibp.co.jp/event/2026/ai260303/</link><guid isPermaLink="true">https://events.nikkeibp.co.jp/event/2026/ai260303/</guid><description>AIリーダーズ会議 2026 Spring（オンライン、日経BP 主催）／ パネル：奥家敏和（経済産業省）、久世和資（旭化成）</description><pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] 製造業における生成AI活用の課題と解決策 〜ダイキンでの取り組み、そして生成AIの最新トレンドを通して</title><link>https://www.b-forum.net/event/jp2085aabh/</link><guid isPermaLink="true">https://www.b-forum.net/event/jp2085aabh/</guid><description>一條リーダーシップフォーラム（ILF）第5クール（イイノホール＆カンファレンスセンター 4F RoomA、ビジネス・フォーラム事務局主催）／ ゲスト講演 + 鼎談パネル「変革のその先へ 〜AI時代における日本企業の課題と勝機」（共演：村井達哉（キャディ）、一條和生（IMD／一橋大学））</description><pubDate>Fri, 28 Nov 2025 06:10:00 GMT</pubDate><category>講演</category></item><item><title>[講演] 製造業における生成AI活用の最前線と、空調特化LLMの構築に向けて</title><link>https://wandb.ai/site/resources/events/fully-connected/tokyo/</link><guid isPermaLink="true">https://wandb.ai/site/resources/events/fully-connected/tokyo/</guid><description>W&amp;B Fully Connected 2025 Tokyo（Day 2）</description><pubDate>Fri, 31 Oct 2025 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[論文] Information processing device and information processing method</title><link>https://patents.google.com/patent/US20250328768A1</link><guid isPermaLink="true">https://patents.google.com/patent/US20250328768A1</guid><description>Seiya Tokui, Yuya Unno, Kenta Oono, Ryosuke Okuta, Tatsuya Kato, Shohei Hido. US Patent App. 19/254,626</description><pubDate>Thu, 23 Oct 2025 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[講演] 製造業における生成AI活用 〜ダイキンの社内人材による取り組み〜</title><link>https://www.ehime-u.ac.jp/data_event/ev_20250903_dijital/</link><guid isPermaLink="true">https://www.ehime-u.ac.jp/data_event/ev_20250903_dijital/</guid><description>第7回 デジタル情報人材育成講演会（愛媛大学総合情報メディアセンター メディアホール）／ 共催：第36回 愛媛大学DS研究セミナー</description><pubDate>Mon, 06 Oct 2025 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] 天才デジタルイノベーター集結 日本発グローバルAIの勝ち筋</title><link>https://www.ipa.go.jp/jinzai/mitou/event/kidou-global-conference-20250918.html</link><guid isPermaLink="true">https://www.ipa.go.jp/jinzai/mitou/event/kidou-global-conference-20250918.html</guid><description>KIDOU Global Conference（コングレスクエア グラングリーン大阪、IPA 主催）／ パネル：古橋貞之（Treasure Data）、梶田真実（SingularPerturbations）、ファシリ：野嶋紗己子（PIVOT）</description><pubDate>Thu, 18 Sep 2025 06:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] The evolution of manufacturing industry with the use of AI and data</title><link>https://www.meti.go.jp/english/press/2025/0919_001.html</link><guid isPermaLink="true">https://www.meti.go.jp/english/press/2025/0919_001.html</guid><description>Global Startup EXPO 2025（大阪・関西万博 EXPO Messe WASSE / Synergy Stage、英語セッション、経済産業省・JETRO・NEDO 主催）／ パネル：Darren Kimura（AI Squared）、Karan Mohla（B Capital）、古橋貞之（Treasure Data）、前川智章（エクサウィザーズ）</description><pubDate>Thu, 18 Sep 2025 02:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] 製造業における生成AI活用の課題と解決策 〜ダイキンでの取り組みを通して</title><link>https://www.b-forum.net/event/jp2005jijh/</link><guid isPermaLink="true">https://www.b-forum.net/event/jp2005jijh/</guid><description>AI Management Forum 2025 2nd「AI × 経営変革 + リスク 〜新時代を勝ち抜く経営、戦略、そして組織」（オンライン、ビジネス・フォーラム事務局主催）／ 先進企業事例講演 + Special Dialogue「生成AIを企業経営に活かすために」（ファシリ：川原圭博（東京大学））</description><pubDate>Mon, 08 Sep 2025 05:00:00 GMT</pubDate><category>講演</category></item><item><title>[論文] 空調特化LLM構築に向けた既存モデルの性能評価</title><link>https://yans.anlp.jp/entry/yans2025</link><guid isPermaLink="true">https://yans.anlp.jp/entry/yans2025</guid><description>森本康太, 冨士本直起, 森田隆紘, 小田悠介, 比戸将平. YANS2025 第19回若手研究者シンポジウム（浜松）, S5-P46</description><pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] 少量教師データ下の行動認識タスクにおける追加事前学習</title><link>https://cvim.ipsj.or.jp/MIRU2025/timetable.html</link><guid isPermaLink="true">https://cvim.ipsj.or.jp/MIRU2025/timetable.html</guid><description>朱治, 佐藤可直 (Fairy Devices), 吉田直樹 (ダイキン工業), 関喜史 (Fairy Devices), 比戸将平 (ダイキン工業). MIRU2025 第28回 画像の認識・理解シンポジウム（国立京都国際会館）, インタラクティブセッション IS2-073</description><pubDate>Thu, 31 Jul 2025 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[講演] スタートアップと大企業の両側で体験したAI産業応用の変遷と未来</title><link>https://note.com/utie_utokyo/n/n6f1bcd33e207</link><guid isPermaLink="true">https://note.com/utie_utokyo/n/n6f1bcd33e207</guid><description>uTIE Connect DAIKIN Day（東京大学 uTIE 主催）</description><pubDate>Thu, 12 Jun 2025 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[メディア] 事業会社こそがAIの利益を享受とダイキンの比戸将平氏、設計開発への活用に着手</title><link>https://xtech.nikkei.com/atcl/nxt/column/18/03076/052200009/</link><guid isPermaLink="true">https://xtech.nikkei.com/atcl/nxt/column/18/03076/052200009/</guid><description>日経BP「AIリーダーズ100」選出インタビュー（日経クロステック掲載）</description><pubDate>Mon, 26 May 2025 00:00:00 GMT</pubDate><category>メディア</category></item><item><title>[講演] 製造業における生成AI活用の課題と解決策ーダイキンでの取り組みを通して</title><link>https://hido.github.io/talks-and-media/</link><guid isPermaLink="true">https://hido.github.io/talks-and-media/</guid><description>Factory Innovation Week 大阪2025（インテックス大阪）</description><pubDate>Thu, 15 May 2025 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[メディア] AIの本格実装に見いだす日本の製造業の勝ち筋</title><link>https://toyokeizai.net/articles/-/860345</link><guid isPermaLink="true">https://toyokeizai.net/articles/-/860345</guid><description>東洋経済オンライン</description><pubDate>Fri, 21 Mar 2025 00:00:00 GMT</pubDate><category>メディア</category></item><item><title>[メディア] AI、内製化の波来る — 元プリファードのダイキン・比戸さん</title><link>https://www.nikkei.com/article/DGXZQOUF186OJ0Y5A310C2000000/</link><guid isPermaLink="true">https://www.nikkei.com/article/DGXZQOUF186OJ0Y5A310C2000000/</guid><description>日本経済新聞（本紙）</description><pubDate>Sat, 01 Mar 2025 00:00:00 GMT</pubDate><category>メディア</category></item><item><title>[メディア] インタビュー：比戸 将平</title><link>https://www.mitou.org/creators/hido_shohei.html</link><guid isPermaLink="true">https://www.mitou.org/creators/hido_shohei.html</guid><description>一般社団法人未踏 CREATORS</description><pubDate>Thu, 26 Dec 2024 00:00:00 GMT</pubDate><category>メディア</category></item><item><title>[論文] 一人称視点映像の作業認識と自己教師あり学習の試み</title><link>https://miru-committee.github.io/miru2024/program/timetable/</link><guid isPermaLink="true">https://miru-committee.github.io/miru2024/program/timetable/</guid><description>吉田直樹 (ダイキン), 竹内太法 (Fairy Devices), 小原拓哉 (ダイキン), 三戸智浩, 佐藤可直, 関喜史 (Fairy Devices), 比戸将平 (ダイキン). MIRU2024 第27回 画像の認識・理解シンポジウム（熊本城ホール）, インタラクティブセッション IS-3-126</description><pubDate>Fri, 09 Aug 2024 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[講演] 生成AI/LLM未踏的ビジネス活用最前線</title><link>https://www.ipa.go.jp/jinzai/mitou/event/mitoukaigi2024.html</link><guid isPermaLink="true">https://www.ipa.go.jp/jinzai/mitou/event/mitoukaigi2024.html</guid><description>未踏会議2024 MEET DAY（ベルサール秋葉原、IPA 主催）／ パネル：中山ところてん（NextInt）、中村龍矢（LayerX）、ファシリ：田中邦裕（さくらインターネット）</description><pubDate>Sun, 10 Mar 2024 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[メディア] ダイキンに来たAIトップランナーが若手AI人材に繰り返し伝える意外な心得</title><link>https://jbpress.ismedia.jp/articles/-/77907</link><guid isPermaLink="true">https://jbpress.ismedia.jp/articles/-/77907</guid><description>JBpress</description><pubDate>Tue, 14 Nov 2023 00:00:00 GMT</pubDate><category>メディア</category></item><item><title>[講演] 先端技術の社会実装に向けて</title><link>https://prtimes.jp/main/html/rd/p/000000045.000076641.html</link><guid isPermaLink="true">https://prtimes.jp/main/html/rd/p/000000045.000076641.html</guid><description>DG Daiwa Ventures × ダイキン工業 × Fairy Devices 共催ウェビナー「ハードウェアとソフトウェアの協創 〜組織の壁を越えた現場実務におけるイノベーションの創出〜」第二部 開発編（オンライン）／ パネル：藤野真人・竹崎雄一郎（Fairy Devices）、近藤玲（ダイキン工業）</description><pubDate>Wed, 26 Jul 2023 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] Preferred Networksにおける物流ロボットとその事業展望</title><link>https://hido.github.io/talks-and-media/</link><guid isPermaLink="true">https://hido.github.io/talks-and-media/</guid><description>ITmedia Virtual EXPO 2021 秋, リテール＆ロジスティクス サプライチェーンEXPO</description><pubDate>Mon, 01 Nov 2021 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] 深層学習による製造業のスマート化と産業応用の将来展望</title><link>https://hido.github.io/talks-and-media/</link><guid isPermaLink="true">https://hido.github.io/talks-and-media/</guid><description>一般財団法人日本科学技術連盟・クオリティフォーラム2020</description><pubDate>Sun, 01 Nov 2020 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] AI技術の産業応用: 現在と未来</title><link>https://www.ipsj.or.jp/event/seminar/2020/program03.html</link><guid isPermaLink="true">https://www.ipsj.or.jp/event/seminar/2020/program03.html</guid><description>一般社団法人情報処理学会・連続セミナー2020</description><pubDate>Tue, 01 Sep 2020 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[論文] Increasing availability of an industrial control system</title><link>https://patents.google.com/patent/US10678911</link><guid isPermaLink="true">https://patents.google.com/patent/US10678911</guid><description>Karim Hamzaoui, Shohei Hido, Shoko Suzuki, Sachiko Yoshihama. US Patent 10,678,911</description><pubDate>Tue, 09 Jun 2020 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Server device, learned model providing program, learned model providing method, and learned model providing system</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Keigo Kawaai, Shohei Hido, Nobuyuki Kubota, Daisuke Tanaka. US Patent App. 16/578,035</description><pubDate>Thu, 09 Jan 2020 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[講演] 深層学習による製造業のスマート化</title><link>https://www.bri.or.jp/21ckeieisya/wp-content/uploads/sites/30/2019/12/26th_21c_KeieisyaForum.pdf</link><guid isPermaLink="true">https://www.bri.or.jp/21ckeieisya/wp-content/uploads/sites/30/2019/12/26th_21c_KeieisyaForum.pdf</guid><description>一般社団法人企業研究会・21世紀経営者フォーラム・新しい技術経営を考える会</description><pubDate>Sun, 01 Dec 2019 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[論文] Machine learning with model filtering and model mixing for edge devices in a heterogeneous environment</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Daisuke Okanohara, Justin B. Clayton, Toru Nishikawa, Shohei Hido, Nobuyuki Kubota, Nobuyuki Ota, Seiya Tokui. US Patent App. 16/457,792</description><pubDate>Thu, 24 Oct 2019 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Time series data adaptation and sensor fusion systems, methods, and apparatus</title><link>https://patents.google.com/patent/US10410113</link><guid isPermaLink="true">https://patents.google.com/patent/US10410113</guid><description>Justin B. Clayton, Daisuke Okanohara, Shohei Hido. US Patent 10,410,113</description><pubDate>Tue, 10 Sep 2019 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Network system</title><link>https://patents.google.com/patent/US10397260</link><guid isPermaLink="true">https://patents.google.com/patent/US10397260</guid><description>Takahiro Hamada, Yuminobu Igarashi, Shohei Hido. US Patent 10,397,260</description><pubDate>Tue, 27 Aug 2019 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Machine learning with model filtering and model mixing for edge devices in a heterogeneous environment</title><link>https://patents.google.com/patent/US10387794</link><guid isPermaLink="true">https://patents.google.com/patent/US10387794</guid><description>Daisuke Okanohara, Justin B. Clayton, Toru Nishikawa, Shohei Hido, Nobuyuki Kubota, Nobuyuki Ota, Seiya Tokui. US Patent 10,387,794</description><pubDate>Tue, 20 Aug 2019 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[講演] 技術覇権時代におけるイノベーションの生み出し方　〜日本らしい価値とその創出方法〜（講演およびパネルディスカッション）</title><link>https://events.nikkei.co.jp/18963/</link><guid isPermaLink="true">https://events.nikkei.co.jp/18963/</guid><description>日経ビジネスイノベーションフォーラム・ＴＭ研究会シンポジウム</description><pubDate>Mon, 01 Jul 2019 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[講演] 深層学習がもたらす製造業のスマート化</title><link>https://hido.github.io/talks-and-media/</link><guid isPermaLink="true">https://hido.github.io/talks-and-media/</guid><description>日刊工業新聞社・スマートファクトリーJapan2019</description><pubDate>Sat, 01 Jun 2019 00:00:00 GMT</pubDate><category>講演</category></item><item><title>[論文] Machine learning heterogeneous edge device, method, and system</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Daisuke Okanohara, Justin Clayton, Toru Nishikawa, Shohei Hido, Nobuyuki Kubota, Nobuyuki Ota, Seiya Tokui. US Patent App. 15/970,294</description><pubDate>Thu, 06 Sep 2018 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Machine learning heterogeneous edge device, method, and system</title><link>https://patents.google.com/patent/US9990587</link><guid isPermaLink="true">https://patents.google.com/patent/US9990587</guid><description>Daisuke Okanohara, Justin B. Clayton, Toru Nishikawa, Shohei Hido, Nobuyuki Kubota, Nobuyuki Ota, Seiya Tokui. US Patent 9,990,587</description><pubDate>Tue, 05 Jun 2018 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Method, computer program, and computer for determining system situation</title><link>https://patents.google.com/patent/US9857775</link><guid isPermaLink="true">https://patents.google.com/patent/US9857775</guid><description>Karim Hamzaoui, Shohei Hido, Shoko Suzuki, Rikiya Takahashi, Sachiko Yoshihama. US Patent 9,857,775</description><pubDate>Tue, 02 Jan 2018 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] CuPy: A NumPy-compatible library for NVIDIA GPU calculations</title><link>https://cupy.dev/</link><guid isPermaLink="true">https://cupy.dev/</guid><description>Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido, Crissman Loomis. Workshop on Machine Learning Systems (LearningSys), NeurIPS 2017</description><pubDate>Fri, 01 Dec 2017 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] AI白書 2017</title><link>https://www.ipa.go.jp/about/report/ai/201707.html</link><guid isPermaLink="true">https://www.ipa.go.jp/about/report/ai/201707.html</guid><description>独立行政法人情報処理推進機構 AI白書編集委員会（執筆委員として参加）. 情報処理推進機構</description><pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Information identification method, program product, and system using relative frequency</title><link>https://patents.google.com/patent/US9471882</link><guid isPermaLink="true">https://patents.google.com/patent/US9471882</guid><description>Shohei Hido, Michiaki Tatsubori. US Patent 9,471,882</description><pubDate>Tue, 18 Oct 2016 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Machine learning heterogeneous edge device, method, and system</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Justin B. Clayton, Daisuke Okanohara, Toru Nishikawa, Shohei Hido, Nobuyuki Kubota, Nobuyuki Ota, Seiya Tokui. Filed (Clayton et al., 2016)</description><pubDate>Fri, 01 Jan 2016 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Machine learning with model filtering and model mixing for edge devices in a heterogeneous environment</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Justin B. Clayton, Daisuke Okanohara, Toru Nishikawa, Shohei Hido, Nobuyuki Kubota, Nobuyuki Ota, Seiya Tokui. Filed (Clayton et al., 2016)</description><pubDate>Fri, 01 Jan 2016 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Technique for classifying data</title><link>https://patents.google.com/patent/US9218572</link><guid isPermaLink="true">https://patents.google.com/patent/US9218572</guid><description>Shohei Hido. US Patent 9,218,572</description><pubDate>Tue, 22 Dec 2015 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Chainer: a next-generation open source framework for deep learning</title><link>https://chainer.org/</link><guid isPermaLink="true">https://chainer.org/</guid><description>Seiya Tokui, Kenta Oono, Shohei Hido, Justin Clayton. Workshop on Machine Learning Systems (LearningSys), NeurIPS 2015, 5:1–6</description><pubDate>Tue, 01 Dec 2015 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] データサイエンティスト養成読本　機械学習入門編</title><link>https://gihyo.jp/book/2015/978-4-7741-7631-4</link><guid isPermaLink="true">https://gihyo.jp/book/2015/978-4-7741-7631-4</guid><description>比戸将平, 馬場雪乃, 里洋平, 戸嶋龍哉, 得居誠也, 福島真太朗, 加藤公一, 関喜史, 阿部厳, 熊崎宏樹. 技術評論社</description><pubDate>Tue, 01 Sep 2015 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Graph similarity calculation system, method and program</title><link>https://patents.google.com/patent/US9122771</link><guid isPermaLink="true">https://patents.google.com/patent/US9122771</guid><description>Shohei Hido, Hisashi Kashima. US Patent 9,122,771</description><pubDate>Tue, 01 Sep 2015 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] System for inspecting information processing unit to which software update is applied</title><link>https://patents.google.com/patent/US8887146</link><guid isPermaLink="true">https://patents.google.com/patent/US8887146</guid><description>Shohei Hido, Seiji Munetoh, Shoko Suzuki, Naohiko Uramoto, Sachiko Yoshihama. US Patent 8,887,146</description><pubDate>Tue, 11 Nov 2014 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Jubatus: An open source platform for distributed online machine learning</title><link>https://jubat.us/</link><guid isPermaLink="true">https://jubat.us/</guid><description>Shohei Hido, Seiya Tokui, Satoshi Oda. NIPS 2013 Workshop on Big Learning, Lake Tahoe</description><pubDate>Sun, 01 Dec 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Data marketplace for efficient data placement</title><link>https://www.computer.org/csdl/proceedings-article/icdmw/2013/5867a702</link><guid isPermaLink="true">https://www.computer.org/csdl/proceedings-article/icdmw/2013/5867a702</guid><description>Hiroshi Maruyama, Daisuke Okanohara, Shohei Hido. IEEE International Conference on Data Mining Workshops (ICDMW 2013), 702–705</description><pubDate>Sun, 01 Dec 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Graph similarity calculation system, method and program</title><link>https://patents.google.com/patent/US8588531</link><guid isPermaLink="true">https://patents.google.com/patent/US8588531</guid><description>Shohei Hido, Hisashi Kashima. US Patent 8,588,531</description><pubDate>Tue, 19 Nov 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Method, program, and system for calculating similarity between nodes in graph</title><link>https://patents.google.com/patent/US8538169</link><guid isPermaLink="true">https://patents.google.com/patent/US8538169</guid><description>Shohei Hido. US Patent 8,538,169</description><pubDate>Tue, 17 Sep 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Krill: An Architecture for Edge-Heavy Data</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Daisuke Okanohara, Shohei Hido, Nobuyuki Kubota, Yuya Unno, Hiroshi Maruyama. Third Workshop on Architectures and Systems for Big Data, Tel Aviv</description><pubDate>Sat, 01 Jun 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Time series data analysis method, system and computer program</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Shohei Hido. US Patent App. 13/667,672</description><pubDate>Thu, 09 May 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Time series data analysis method, system and computer program</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Shohei Hido. US Patent App. 13/674,260</description><pubDate>Thu, 09 May 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Change analysis</title><link>https://patents.google.com/patent/US8417648</link><guid isPermaLink="true">https://patents.google.com/patent/US8417648</guid><description>Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa. US Patent 8,417,648</description><pubDate>Tue, 09 Apr 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Location estimation system, method and program</title><link>https://patents.google.com/patent/US8405551</link><guid isPermaLink="true">https://patents.google.com/patent/US8405551</guid><description>Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Shoko Suzuki, Akira Tajima, Rikiya Takahashi, Toshihiro Takahashi, Yuta Tsuboi. US Patent 8,405,551</description><pubDate>Tue, 26 Mar 2013 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Method, computer program, and system for performing interpolation on sensor data for high system availability</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Karim Hamzaoui, Shohei Hido, Shoko Suzuki. US Patent App. 13/473,845</description><pubDate>Thu, 22 Nov 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Method, computer program, and system for performing interpolation on sensor data for high system availability</title><link>https://patents.google.com/patent/US20120296606A1</link><guid isPermaLink="true">https://patents.google.com/patent/US20120296606A1</guid><description>Karim Hamzaoui, Shohei Hido, Shoko Suzuki. US Patent App. 13/531,570</description><pubDate>Thu, 22 Nov 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Hash-based structural similarity for semi-supervised learning on attribute graphs</title><link>https://ieeexplore.ieee.org/document/6460798</link><guid isPermaLink="true">https://ieeexplore.ieee.org/document/6460798</guid><description>Shohei Hido, Hisashi Kashima. International Conference on Pattern Recognition (ICPR 2012), 3009–3012</description><pubDate>Thu, 01 Nov 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Temporal feature selection for time-series prediction</title><link>https://ieeexplore.ieee.org/document/6460933</link><guid isPermaLink="true">https://ieeexplore.ieee.org/document/6460933</guid><description>Shohei Hido, Tetsuro Morimura. International Conference on Pattern Recognition (ICPR 2012), 3557–3560</description><pubDate>Thu, 01 Nov 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Increasing Availability of an Industrial Control System</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Karim Hamzaoui, Shohei Hido, Shoko Suzuki, Sachiko Yoshihama. US Patent App. 13/365,626</description><pubDate>Thu, 09 Aug 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Opportunistic Adversaries: On Imminent Threats to Learning-Based Business Automation</title><link>https://ieeexplore.ieee.org/document/6310988</link><guid isPermaLink="true">https://ieeexplore.ieee.org/document/6310988</guid><description>Michiaki Tatsubori, Shohei Hido. Annual SRII Global Conference 2012, 120–129</description><pubDate>Sun, 01 Jul 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Location estimation system, method and program</title><link>https://patents.google.com/patent/US8138974</link><guid isPermaLink="true">https://patents.google.com/patent/US8138974</guid><description>Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Shoko Suzuki, Akira Tajima, Rikiya Takahashi, Toshihiro Takahashi, Yuta Tsuboi. US Patent 8,138,974</description><pubDate>Tue, 20 Mar 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Modeling patent quality: A system for large-scale patentability analysis using text mining</title><link>https://www.jstage.jst.go.jp/article/imt/7/3/7_1180/_article</link><guid isPermaLink="true">https://www.jstage.jst.go.jp/article/imt/7/3/7_1180/_article</guid><description>Shohei Hido, Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Idé, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, et al.. Information and Media Technologies, 7(3):1180–1191</description><pubDate>Sun, 01 Jan 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining (Special Issue on Theory and Application of Intelligent Information Technology)</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>比戸将平, 鈴木祥子, 西山理紗. 情報処理学会論文誌 ジャーナル, 53(5)</description><pubDate>Sun, 01 Jan 2012 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] A semi-supervised approach to indoor location estimation</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Hisashi Kashima, Shoko Suzuki, Shohei Hido, Yuta Tsuboi, Toshihiro Takahashi, Tsuyoshi Ide, Rikiya Takahashi, Akira Tajima. Geocities Tech Report (ICDMDMC2007 derivative)</description><pubDate>Sat, 01 Jan 2011 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Statistical outlier detection using direct density ratio estimation</title><link>https://link.springer.com/article/10.1007/s10115-010-0283-2</link><guid isPermaLink="true">https://link.springer.com/article/10.1007/s10115-010-0283-2</guid><description>Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori. Knowledge and Information Systems, 26(2):309–336</description><pubDate>Sat, 01 Jan 2011 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] A Semi-supervised Approach to Transferring the Learned Knowledge for Indoor Location Estimation</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Shoko Suzuki, Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Toshihiro Takahashi, Tsuyoshi Idé, Rikiya Takahashi, Akira Tajima. Manuscript</description><pubDate>Sat, 01 Jan 2011 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Maximum Likelihood Estimation for Failed-Link Detection in Communication Networks</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Shohei Hido, Yutaka Takahashi, et al.. Manuscript</description><pubDate>Fri, 01 Jan 2010 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] A linear-time graph kernel</title><link>https://www.computer.org/csdl/proceedings-article/icdm/2009/3895a179</link><guid isPermaLink="true">https://www.computer.org/csdl/proceedings-article/icdm/2009/3895a179</guid><description>Shohei Hido, Hisashi Kashima. IEEE International Conference on Data Mining (ICDM 2009), 179–188</description><pubDate>Tue, 01 Dec 2009 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Biological parameter output apparatus and program</title><link>https://patents.google.com/patent/US7516017</link><guid isPermaLink="true">https://patents.google.com/patent/US7516017</guid><description>Akinori Noma, Nobuaki Sarai, Hiroyuki Kawano, Shohei Hido. US Patent 7,516,017</description><pubDate>Tue, 07 Apr 2009 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Trace Mining from Distributed Assembly Databases for Causal Analysis</title><link>https://link.springer.com/chapter/10.1007/978-3-642-01307-2_74</link><guid isPermaLink="true">https://link.springer.com/chapter/10.1007/978-3-642-01307-2_74</guid><description>Shohei Hido, Hirofumi Matsuzawa, Fumihiko Kitayama, Masayuki Numao. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), 731–740</description><pubDate>Wed, 01 Apr 2009 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Predictive modeling of patent quality by using text mining</title><link>https://hkashima.github.io/publication/IAMOT2010.pdf</link><guid isPermaLink="true">https://hkashima.github.io/publication/IAMOT2010.pdf</guid><description>Hisashi Kashima, Shohei Hido, Yuta Tsuboi, Akira Tajima, Takeshi Ueno, Naoki Shibata, Ichiro Sakata, Toshiya Watanabe. Proc. 19th International Conference on Management of Technology (IAMOT 2009)</description><pubDate>Wed, 01 Apr 2009 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Roughly balanced bagging for imbalanced data</title><link>https://research.ibm.com/publications/roughly-balanced-bagging-for-imbalanced-data</link><guid isPermaLink="true">https://research.ibm.com/publications/roughly-balanced-bagging-for-imbalanced-data</guid><description>Shohei Hido, Hisashi Kashima, Yutaka Takahashi. Statistical Analysis and Data Mining: The ASA Data Science Journal, 2(5-6):412–426</description><pubDate>Thu, 01 Jan 2009 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] A least-squares approach to direct importance estimation</title><link>https://www.jmlr.org/papers/v10/kanamori09a.html</link><guid isPermaLink="true">https://www.jmlr.org/papers/v10/kanamori09a.html</guid><description>Takafumi Kanamori, Shohei Hido, Masashi Sugiyama. The Journal of Machine Learning Research, 10:1391–1445</description><pubDate>Thu, 01 Jan 2009 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] A density-ratio framework for statistical data processing</title><link>https://www.jstage.jst.go.jp/article/ipsjtcva/1/0/1_0_183/_article</link><guid isPermaLink="true">https://www.jstage.jst.go.jp/article/ipsjtcva/1/0/1_0_183/_article</guid><description>Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang. IPSJ Transactions on Computer Vision and Applications, 1:183–208</description><pubDate>Thu, 01 Jan 2009 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Direct density ratio estimation for large-scale covariate shift adaptation</title><link>https://www.jstage.jst.go.jp/article/ipsjjip/17/0/17_0_138/_article</link><guid isPermaLink="true">https://www.jstage.jst.go.jp/article/ipsjjip/17/0/17_0_138/_article</guid><description>Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama. Journal of Information Processing, 17:138–155</description><pubDate>Thu, 01 Jan 2009 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Inlier-based outlier detection via direct density ratio estimation</title><link>https://web.archive.org/web/20260306174226/http://www.ms.k.u-tokyo.ac.jp/sugi/2008/ICDM2008.pdf</link><guid isPermaLink="true">https://web.archive.org/web/20260306174226/http://www.ms.k.u-tokyo.ac.jp/sugi/2008/ICDM2008.pdf</guid><description>Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori. IEEE International Conference on Data Mining (ICDM 2008), 223–232</description><pubDate>Mon, 01 Dec 2008 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Efficient direct density ratio estimation for non-stationarity adaptation and outlier detection</title><link>https://proceedings.neurips.cc/paper/2008/file/1385974ed5904a438616ff7bdb3f7439-Paper.pdf</link><guid isPermaLink="true">https://proceedings.neurips.cc/paper/2008/file/1385974ed5904a438616ff7bdb3f7439-Paper.pdf</guid><description>Takafumi Kanamori, Shohei Hido, Masashi Sugiyama. Advances in Neural Information Processing Systems (NeurIPS 2008), 809–816</description><pubDate>Mon, 01 Dec 2008 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Unsupervised change analysis using supervised learning</title><link>https://link.springer.com/chapter/10.1007/978-3-540-68125-0_15</link><guid isPermaLink="true">https://link.springer.com/chapter/10.1007/978-3-540-68125-0_15</guid><description>Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008), 148–159</description><pubDate>Thu, 01 May 2008 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Novelty detection by density ratio estimation</title><link>https://hido.github.io/publications/</link><guid isPermaLink="true">https://hido.github.io/publications/</guid><description>Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama. Workshop on Information-based Induction Sciences (IBIS 2007), 197–204</description><pubDate>Thu, 01 Nov 2007 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] A fast algorithm for mining frequent ordered subtrees</title><link>https://cir.nii.ac.jp/crid/1520009408328901120</link><guid isPermaLink="true">https://cir.nii.ac.jp/crid/1520009408328901120</guid><description>Shohei Hido, Hiroyuki Kawano. Systems and Computers in Japan, 38(7):34–43</description><pubDate>Mon, 01 Jan 2007 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Right-and-Left Tree Join for Less Redundant Candidate Generation in Tree Mining</title><link>https://dbsj.org/wp-content/uploads/journal/vol4/no1/hido.pdf</link><guid isPermaLink="true">https://dbsj.org/wp-content/uploads/journal/vol4/no1/hido.pdf</guid><description>比戸将平. Technical Report</description><pubDate>Sun, 01 Jan 2006 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] AMIOT: induced ordered tree mining in tree-structured databases</title><link>https://www.computer.org/csdl/proceedings-article/icdm/2005/24930008</link><guid isPermaLink="true">https://www.computer.org/csdl/proceedings-article/icdm/2005/24930008</guid><description>Shohei Hido, Hiroyuki Kawano. IEEE International Conference on Data Mining (ICDM 2005)</description><pubDate>Thu, 01 Dec 2005 00:00:00 GMT</pubDate><category>Publication</category></item><item><title>[論文] Performance Evaluation of Similarity Search Module and Application for Cell Simulator</title><link>https://cir.nii.ac.jp/crid/1520853832636265600</link><guid isPermaLink="true">https://cir.nii.ac.jp/crid/1520853832636265600</guid><description>比戸将平, 河野浩之. 電子情報通信学会技術研究報告 AI, 人工知能と知識処理, 104(487):17–22</description><pubDate>Thu, 01 Jan 2004 00:00:00 GMT</pubDate><category>Publication</category></item></channel></rss>